Director, Data Platforms & AI Engineering

Domino's; Ann Arbor (MI); Presencial; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid holidays

Medical benefits

Mental health support

Childcare discounts

Wellness programs

Fertility benefits

Adoption assistance

401k match

Stock discount

Company bonus

Descripción de la vacante

Domino's is seeking a Director, Data & AI to define and execute the enterprise data strategy, platform roadmap and data engineering operating model. You will lead data platforms, data products, quality engineering, and DataOps to enable trusted analytics, AI, and decision-making across the organization.

You will build and mentor a high-performing team, partner with business and technology leaders, and establish standards for reliability, security, and cost optimization while driving data as a

Formación

• Bachelor's degree or higher in a tech field.
• 10+ years in data engineering or enterprise data.
• 5+ years leading engineering/tech teams.
• Experience building/operating enterprise-scale data platforms.
• Strong cloud/data architecture and data quality experience.

Responsabilidades

• Define and evolve the enterprise data platform, engineering, and operations strategy.
• Develop and manage a multi-year roadmap aligned to business priorities.
• Lead data product strategy and roadmap for foundational data assets.
• Oversee data quality, data operations, and platform reliability initiatives.
• Partner with analytics and business teams to enable self-service data consumption.

Conocimientos

Data Engineering

Leadership

Cloud platforms

Data governance

Stakeholder management

Educación

Bachelor's degree in CS/IT/Engineering/Data Science

Cloud data platforms certifications

Herramientas

SQL

Python

Spark

CI/CD

Descripción del empleo

Domino's is seeking a Director, Data & AI to define and execute the enterprise data strategy, platform roadmap and data engineering operating model. You will lead data platforms, data products, quality engineering, and DataOps to enable trusted analytics, AI, and decision-making across the organization.

You will build and mentor a high-performing team, partner with business and technology leaders, and establish standards for reliability, security, and cost optimization while driving data as a